Regional Management (RM) Occupancy Expense (2013 - 2026)
Regional Management's Occupancy Expense was $7.45 million in Q3 2026, up 4.1% from $7.16 million a year earlier and up 2.7% from the prior quarter.
Powered by 
Analysis
Regional Management (RM) Occupancy Expense (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regional Management's Occupancy Expense was $29.41 million through Sep 30, 2026, up 6.1% year-over-year; for FY2025, it was $28.2 million, up 9.2% from FY2024.
- Occupancy Expense has now increased for three consecutive years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Occupancy Expense was $25.82 million in FY2024 (+3.2%), $25.03 million in FY2023 (+5.1%), $23.81 million in FY2022 (-1.3%) and $24.13 million in FY2021 (+6.6%).
- Quarterly Occupancy Expense has moved between $5.81 million (Q1 2022) and $7.48 million (Q1 2026) over five years.
- Compared with a year earlier, Occupancy Expense has increased for nine straight quarters, with growth averaging 7.8% over the last eight quarters.
- The best year-over-year quarter for Occupancy Expense over five years was Q2 2025 (growth of 12.4%); the worst was Q4 2022 (a decline of 7.9%).
- Per Business Quant data, RM's Occupancy Expense in the three quarters before Q3 2026 was $7.25 million (Q2 2026), $7.48 million (Q1 2026) and $7.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - |
| 10 | Regional Management | 323.93 Mn | 300.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.45 Mn |
| Jun 30, 2026 | 7.25 Mn |
| Mar 31, 2026 | 7.48 Mn |
| Dec 31, 2025 | 7.23 Mn |
| Sep 30, 2025 | 7.16 Mn |
| Jun 30, 2025 | 6.91 Mn |
| Mar 31, 2025 | 6.91 Mn |
| Dec 31, 2024 | 6.75 Mn |
| Sep 30, 2024 | 6.55 Mn |
| Jun 30, 2024 | 6.15 Mn |
| Mar 31, 2024 | 6.38 Mn |
| Dec 31, 2023 | 6.27 Mn |
| Sep 30, 2023 | 6.32 Mn |
| Jun 30, 2023 | 6.16 Mn |
| Mar 31, 2023 | 6.29 Mn |
| Dec 31, 2022 | 6.00 Mn |
| Sep 30, 2022 | 5.85 Mn |
| Jun 30, 2022 | 6.16 Mn |
| Mar 31, 2022 | 5.81 Mn |
| Dec 31, 2021 | 6.51 Mn |
API Access
Regional Management Occupancy Expense API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=occupancy-expense&ticker=RM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "RM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=RM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();